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Programme

Date

Time

Activities

Topic

Speaker

Wednesday, 

19th October

8:00 - 9:00

Arrival and Networking




9:00 – 9:15

Recognition of Guests and Sponsors



Ariane Houetohossou


9:15 – 9:20

Programme Overview




9:20 - 9:25

Goodwill Messages


Vice Chancellor, University of Abomey Calavi


9:25 – 9:40

Deep Learning Indaba and IndabaX Benin Republic (Organizer of IndabaX Benin)


Jeremiah Olamijuwon


9:40 – 10:15

Talk 1

Opportunities of Artificial Intelligence in the Service Delivery and Telecommunications Industry.


Prof. Eugene Ezin & Dr. Stephen Fashoto.


10:15 – 11:00

Talk 2

Challenges facing the Growth and Delivery of Artificial Intelligence in the Service Delivery and Telecommunications Industry


Dr. Sakinat Folorunso & Marianne Balogoun

 

11:00 – 11:15

Tea Break

 

 

 

11:15 – 12:00

Talk 3

Ethical and Responsible AI in the Service Delivery and Telecommunications Industry

Deon Thomas & Jean-Henock Sèmèvo Viayinon

 

12:00 – 13:00

Lunch Break and Networking

 

 

 

13:00 – 13:45

Speaker 4

Artificial Intelligence for All - AutoML and Low/No Code AI

Oluwabamigbe Oni

 

13:45 – 14:15

Panel Discussions

Problems faced with AI in Benin and surroundings and how to address them

Moderator: Olanrewaju Daniya; Panelists: Evrard Akpla | Tahi Souand

 

14:15 – 15:00

Speaker 5

Self Active Learning for Multilingual Language Models: A case study of 23 African language

Bonaventure Dossou


15:00 – 15:15

Closing remarks



 

 

 

Thursday, 

20th October

8:00 – 9:00

Arrival and Networking

 

Olanrewaju Daniya

 

9:00 – 9:05

Welcome Address

 

Ariane Houetohossou


9:05 – 10:00

Practical Sessions 1

Introduction to Machine/Deep Learning

Jeremiah Olamijuwon


10:30 – 11:45

Practical Sessions 2

Introduction to Cloud Computing

Jeremiah Olamijuwon


10:30 – 11:45

For Sponsor

Machine Learning Data Repositories and Networking

Zindi


10:45 – 12:30

Tea Break and Poster Presentations

 

 


12:30 – 13:45

Practical Sessions 3

Introduction to Python Programming

Jeremiah Olamijuwon


13:45 – 14:30

Lunch

 

 


14:30 – 16:00

Practical Sessions 4

Setup of requirements ahead of Day 3’s practical sessions (Anaconda, libraries installation, cloud account setups)

Jeremiah Olamijuwon & Tahi Souand


16:00 – 16:15

Hackathon Declaration

 

Ariane Houetohossou


16:00 – 16:15

Closing remarks

 

Daniya Olanrewaju

 

 

 

Friday, 

21st October

9:00 – 9:05

Program Introduction


Olanrewaju Daniya

 

9:05 – 11:00

Lab 1

Data Analysis and Visualization - Consumer Data Churn

Jeremiah Olamijuwon & Tahi Souand


11:00 – 12:00

Tea Break

 

 


12:00 – 13:00

Lab 2

Machine Learning Modelling - Predicting Customer Churn

Jeremiah Olamijuwon & Tahi Souand


13:00 – 13:30

Interactive and Open Session

Questions and Answers on Machine Learning

Jeremiah Olamijuwon & Tahi Souand


13:30 – 15:00

Women in AI and Lunch

 

Ariane Houetohossou


15:00 – 15:30

Lab 3

Building APIs and Deployment of Machine Learning Models

Jeremiah Olamijuwon


15:30 – 16:30

Lab 4

Introduction to Computer Vision

Jeremiah Olamijuwon


16:30 – 16:40

Hackathon Prizes Announcement

 

Ariane Houetohossou


16:40 – 16:55

Vote of thanks

 

Ariane Houetohossou & Daniya Olanrewaju


16:55 – 17:00

Closing remarks

 

Jeremiah Olamijuwon

 

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